jobs in the wild.

Indian fintech has, for decades, been built on the lender's side of the table. Better underwriting, better collections, better risk models — all optimised for the people selling financial products, not the people trying to make sense of them. When I met Utkrishta Kumar (UK), what struck me was how obsessed he was with flipping that. Not as a positioning line, but as an actual product problem: what would a financial company look like if it was built entirely for the consumer? That's Oolka's mission — to democratise financial outcomes for every Indian. The kind of financial intelligence that has always been reserved for those who could afford it, made available to everyone. Dhruva, our AI agent, is how we get there. A proactive financial companion for every Indian — one that doesn't wait for you to ask the right question, but looks out for you before you even know something's wrong. Not a chatbot. Something that's actually on your side. We're a few years in, and the ambition has only gotten bigger. AI is what makes it possible to build this for hundreds of millions of people, not a privileged few. None of it happens with a bigger team or a longer roadmap. It happens with people who keep asking "why does this still work this way?" — and then go build the answer. That's the muscle we're hiring for — and we're hiring for two roles on Product at Oolka Voice AI PM - Voice is the next frontier for Dhruva — for the India that would rather talk than type. You'll fit if you: → Have actually built voice agents — not just integrated an API, but understand STT/TTS trade-offs and where the pipeline breaks → Know what makes a voice interaction feel human vs. what makes it feel like an IVR menu → Can design for vernacular, low-bandwidth, first-time digital users → Move from prototype to production fast AI PM - You'll own problems most companies haven't hit yet, because they haven't tried to build what we're building. You'll fit if you: → Have real technical depth on how LLMs actually work — context, retrieval, failure modes, not just prompting → Have hands-on experience with agentic memory, evals, or multi-agent systems → Can tell the difference between a model limitation and a product design problem → Care as much about the customer's biases and blind spots as you do about the model's Both roles: Bengaluru, in-office. Working directly with me. 📍 Apply here: Voice AI PM - https://binary.so/Edcmp0y AI PM - https://binary.so/9wpUuhV Utkrishta Kumar (UK) Jatin Mazalcar Harsh Tripathi Aman Aniket Ajit Khabya Vikas B. Niranjan Yadav Bhushan Deshmukh Sandesh Gupta Agrim Jain